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Grid Computing for Earth Science
Author(s) -
Renard Philippe,
Badoux Vincent,
Petitdidier Monique,
Cossu Roberto
Publication year - 2009
Publication title -
eos, transactions american geophysical union
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2009eo140002
Subject(s) - natural (archaeology) , earth observation , earth system science , natural hazard , grid , space science , computer science , earth science , natural resource , environmental resource management , environmental science , satellite , meteorology , engineering , political science , geography , geology , oceanography , archaeology , geodesy , law , aerospace engineering
The fundamental challenges facing humankind at the beginning of the 21st century require an effective response to the massive changes that are putting increasing pressure on the environment and society. The worldwide Earth science community, with its mosaic of disciplines and players (academia, industry, national surveys, international organizations, and so forth), provides a scientific basis for addressing issues such as the development of new energy resources; a secure water supply; safe storage of nuclear waste; the analysis, modeling, and mitigation of climate changes; and the assessment of natural and industrial risks. In addition, the Earth science community provides short‐ and medium‐term prediction of weather and natural hazards in real time, and model simulations of a host of phenomena relating to the Earth and its space environment. These capabilities require that the Earth science community utilize, both in real and remote time, massive amounts of data, which are usually distributed among many different organizations and data centers.

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